Azure Data Engineer

Candidate Description

With over eight years of combined international experience, this data-engineering professional excels at transforming raw information into actionable intelligence across not-for-profit, agriculture and consulting environments. Their expertise spans Azure, AWS and Databricks ecosystems, underpinned by strong SQL, Python and data-modelling skills cultivated while delivering analytics solutions for organizations such as a Not-for-Profit Organization, an Agricultural Cooperative, and a Technology Company. Adept at collaborating with diverse stakeholders, they bring a proven ability to bridge technical and business domains.

Their technical acumen is demonstrated through the design of domain-specific data-mesh products, orchestration of complex Azure Data Factory pipelines and implementation of CI/CD frameworks in Azure DevOps. Proficiencies include Synapse Analytics, Power BI, SSIS/SSRS and REST API integrations, supported by best-practice data governance and role-based security controls. Key achievements include automating mission-critical ETL workflows that power hundreds of reports at an Agricultural Cooperative and establishing proactive monitoring that minimized pipeline downtime at a Not-for-Profit Organization.

Beyond technical delivery, this individual fosters knowledge-sharing and continuous improvement—evidenced by mentoring data-science students at an Educational Institution and leading SAP training for 300+ users at an Energy Provider. Their adaptability across industries, dedication to stakeholder engagement and commitment to high-quality outcomes position them as a valuable contributor to organizations seeking robust, scalable and insightful data solutions.